D-optimal 2 × 2 × s3 × s4 saturated factorial designs
نویسندگان
چکیده
منابع مشابه
Optimal Designs for 2 Factorial Experiments with Binary Response
We consider the problem of obtaining D-optimal designs for factorial experiments with a binary response and k qualitative factors each at two levels. We obtain a characterization of locally D-optimal designs. We then develop efficient numerical techniques to search for locally D-optimal designs. Using prior distributions on the parameters, we investigate EW D-optimal designs that maximize the d...
متن کاملD-optimal Factorial Designs under Generalized Linear Models
Generalized linear models (GLMs) have been used widely for modelling the mean response both for discrete and continuous random variables with an emphasis on categorical response. Recently Yang, Mandal and Majumdar (2013) considered full factorial and fractional factorial locally D-optimal designs for binary response and two-level experimental factors. In this paper, we extend their results to a...
متن کاملOptimal Factorial Designs for Cdna Microarray Experiments
We consider cDNA microarray experiments when the cell populations have a factorial structure, and investigate the problem of their optimal designing under a baseline parametrization where the objects of interest differ from those under the more common orthogonal parametrization. First, analytical results are given for the 2× 2 factorial. Since practical applications often involve a more complex...
متن کاملOptimal designs for 2-color microarray experiments.
Statisticians can play a crucial role in the design of gene expression studies to ensure the most effective allocation of available resources. This paper considers Pareto optimal designs for gene expression studies involving 2-color microarrays. Pareto optimality enables the recommendation of designs that are particularly efficient for the effects of most interest to biologists. This is relevan...
متن کاملOptimal Foldovers of pkIII − 2 Designs
This article describes a family of resolution III designs for which the usual advice regarding foldover reversing all factors is ill advised. The smallest such design is a 16-run, 9-factor design. For designs in this family, alternative foldover fractions not only increase the resolution to IV, but also separate some of the aliased two-factor interactions. While resolution IV designs obtained b...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Cogent Mathematics & Statistics
سال: 2018
ISSN: 2574-2558
DOI: 10.1080/25742558.2018.1458554